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Mathematics 19 Online
OpenStudy (anonymous):

IMPOSSIBLE QUESTION: Past records show that the times, in seconds, take to run 100m by children at a school can be modelled by a normal distribution witha mean of 16.12 and a standard deviation of 1.60. On sports day the school awards certificates to the fastest 30% of the children in the 100m race. Estimate, to 2d.p., the slowest time taken to run 100m for which a child will be awarded a certificate.

OpenStudy (anonymous):

X~N(16.12, 1.60^2)

OpenStudy (anonymous):

Quite possible.

OpenStudy (anonymous):

what a smooth answer

OpenStudy (anonymous):

Calculate the z score of the time that you're interested in. Z-score = number of standard deviations from the mean. (x-mean)/SD Look that z score up on a z table, and that will tell you what percentage of students run slower or faster than that, depending on the table you're looking at.

OpenStudy (anonymous):

Thank you, Muse.

OpenStudy (anonymous):

Or, go backwards. Figure out what percent you need, find a z-score for that percent, then turn that into a time.

OpenStudy (anonymous):

http://health.adelaide.edu.au/publichealth/staff/ASCIEB_statistical_tables.pdf -Since we are concerned with the top 30% we want to use 'Table One' (One tailed probability) to find the zscore which fits 30% of the distribution to one end of the curve. -In this case it is between .52 and .53, approximate or interpolate this value (~.5244) -sub this z value into the equation that relates mean, SD, z-value, and data. \[z = (x-u)/\sigma \] where z is your z-value, u is your mean, \[\sigma\] is your standard deviation and x is your data point(which you need to solve for. plug and play

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